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spd manifold

4 papers

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Co-occurring keywords · papers mentioning both

riemannian optimization (2) riemannian stochastic gradient descent (1) gyrovector space (1) automatic optimization (1) hyperbolic neural network (1) supernet training (1) differentiable search (1) recurrent model (1) differentiable optimization (1) symmetric positive definite matrix (1)

Papers

Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting ACML 2023 The Gyro-Structure of Some Matrix Manifolds NeurIPS 2022 Neural Architecture Search of SPD Manifold Networks IJCAI 2021 Learning to Optimize on SPD Manifolds CVPR 2020